Catch me if you can: performance bug detection in the wild

By M. Jovic, Andrea Adamoli, Matthias Hauswirth. 2011

116 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Christian Kästner
2. Sven Apel
3. Shan Lu
4. Ilya Mironov
5. Ú. Erlingsson
6. Petros Maniatis
7. David Lie

In Information Systems

1. Sven Apel
2. Christian Kästner
3. Ú. Erlingsson
4. Shan Lu
5. Ilya Mironov
6. Petros Maniatis
7. Julien Tinnés
8. Mitch Rudominer

Citations in the corpus

• Performance-influence models for highly configurable systems (2015, background): “For instance, Jovic and others analyze samplings of call stacks of deployed versions of a program to find performance bugs [14].”
• AppInsight: Mobile App Performance Monitoring in the Wild (2012, unknown): “LagHunter [12] collects data about user-perceived delays in interactive applications.”
• Understanding and detecting real-world performance bugs (2012, background): “Performance diagnosis A lot of progress has been made on profiling-based performance diagnosis [10, 19, 25, 39].”
• PROCHLO: Strong Privacy for Analytics in the Crowd (2017, background): “, for understanding software behavior or bugs, software performance or resource use, or for other software improvements [13, 39, 46, 59, 61, 77].”